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Record W4238794506 · doi:10.32920/ryerson.14654721

Networking care : immigrant women's access to childcare

2021· preprint· en· W4238794506 on OpenAlexaboutno aff
Agata Frankowicz

Bibliographic record

Venuenot available
Typepreprint
Languageen
FieldSocial Sciences
TopicResearch in Social Sciences
Canadian institutionsnot available
Fundersnot available
KeywordsIngenuityImmigrationSocial capitalSociologyService (business)Qualitative researchGender studiesPolitical sciencePublic relationsEconomic growthBusinessSocial scienceEconomicsLawMarketing

Abstract

fetched live from OpenAlex

This MRP [major research paper] highlights some of the challenges experienced by a small non-probability sample of newcomer women with children when trying to access childcare. It begins with an overview of feminist theory in relation to social reproduction, as well as social capital theory. It outlines the current situation of childcare in Canada, including an emphasis on the gaps in service. I highlight research that has been conducted on various forms of informal childcare networks that immigrant women form. My own research focuses on the social networks immigrant women forge and to what extent forms of child minding have helped newcomer women participate in Canadian society. This project includes accounts of five mothers (status and non-status) as they struggle to find adequate, affordable childcare. In-depth qualitative interviews are used to examine the challenges, ingenuity and resourcefulness of immigrant women when it comes to accessing childcare in a new setting. My research found that although referred to as "weak-ties", non-kin are an important source of information and childcare support for newcomer women.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Scholarly communication, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.569
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0020.000
Scholarly communication0.0040.000
Open science0.0030.004
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.074
GPT teacher head0.438
Teacher spread0.364 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designQualitative
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations3
Published2021
Admission routes1
Has abstractyes

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Same topicResearch in Social SciencesFrench-language works237,207